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According to Yonhap News,
(DAEJEON=Yonhap News) ETRI and SCL enter a new agreement on collaboration over big data analysis of habits and genetics
A recent development in artificial intelligence (AI) that supports the analysis of medical big data on personal habits and genetic history is expected to bring us closer to the realization of personalized medicine.
On March 16, the research team of the Electrotechnology Research Institute (ETRI) has succeeded in using CyberDx, an engine for analyzing medical data, including the risks of illnesses.
CyberDx is a technology that applies a new model of machine learning and cognitive data analysis algorithms.
The ETRI research team’s goal is to develop a system that allows the preventive management of illnesses throughout one’s lifespan, over and beyond the existing model of medical care that provides diagnoses and treatment in a passive and temporary manner.
The research team explained that it successfully achieved high accuracy in diagnosing senile dementia with its technology that identifies the disease’s major risk factors in data on actual patients.
The team’s analysis engine will be expanded to apply to the diagnoses of other diseases as well.
Eager to ensure the applicability of its new technology, the ETRI research team decided to collaborate with Seoul Clinical Laboratories (SCL), which possesses numerous medical data.
ETRI and SCL, which together signed a partnership agreement in Yuseong-gu, Daejeon, will work together on the research of new diagnostic and prevention technologies using a database that combines all medical data on the genetic and clinical histories of patients as well as the diagnostic equipment logs.
SCL expects the partnership to help them realize a new and distinct ubiquitous health-care system.
Baek Ok-gi, a research fellow at ETRI’s IDX Original Technology Research Office, commented: “The analysis of medical big data using AI is a major emerging topic worldwide today. We will continue our efforts to develop a system that can accurately identify the risk factors of diseases before they begin to affect patients.”
walden@yna.co.kr
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Source: Yonhap News (Mar. 16, 2018)
** This article was translated from the Korean.